Zobrazeno 1 - 10
of 13 201
pro vyhledávání: '"P, Mathis"'
Autor:
Bessila, Leïla, van Ruys, Adrien Deckx, Buriasco, Valentin, Mathis, Stéphane, Bugnet, Lisa, García, Rafael A., Mathur, Savita
Recent observational results from asteroseismic studies show that an important fraction of solar-like stars do not present detectable stochastically excited acoustic oscillations. This non-detectability seems to correlate with a high rotation rate in
Externí odkaz:
http://arxiv.org/abs/2412.14952
The interference between two independent photons stands as a crucial aspect of numerous quantum information protocols and technologies. In this work, we leverage fiber-coupled devices, which encompass fibered photon pair-sources and off-the-shelf opt
Externí odkaz:
http://arxiv.org/abs/2412.13900
Autor:
Koenders, Kees, Schnitzpan, Leo, Kammerbauer, Fabian, Shu, Sinan, Jakob, Gerhard, Kläui, Mathis, Mentink, Johan, Ahmad, Nasir, van Gerven, Marcel
Brain-inspired learning in physical hardware has enormous potential to learn fast at minimal energy expenditure. One of the characteristics of biological learning systems is their ability to learn in the presence of various noise sources. Inspired by
Externí odkaz:
http://arxiv.org/abs/2412.12783
In-context learning (ICL) enables Large Language Models (LLMs) to perform tasks using few demonstrations, facilitating task adaptation when labeled examples are hard to obtain. However, ICL is sensitive to the choice of demonstrations, and it remains
Externí odkaz:
http://arxiv.org/abs/2412.11923
Motivated by the need for advanced solutions in the segmentation and inpainting of glioma-affected brain regions in multi-modal magnetic resonance imaging (MRI), this study presents an integrated approach leveraging the strengths of ensemble learning
Externí odkaz:
http://arxiv.org/abs/2412.11849
Accurate segmentation of brain tumors from 3D multimodal MRI is vital for diagnosis and treatment planning across diverse brain tumors. This paper addresses the challenges posed by the BraTS 2023, presenting a unified transfer learning approach that
Externí odkaz:
http://arxiv.org/abs/2412.08240
The presence of dips in the gravity modes period spacing versus period diagram of gamma Doradus stars is now well established by recent asteroseismic studies. Such Lorentzian-shaped inertial dips arise from the interaction of gravito-inertial modes i
Externí odkaz:
http://arxiv.org/abs/2412.02849
Autor:
Caralt, Mireia Hernandez, Sekulić, Ivan, Carević, Filip, Khau, Nghia, Popa, Diana Nicoleta, Guedes, Bruna, Guimarães, Victor, Yang, Zeyu, Manso, Andre, Reddy, Meghana, Rosso, Paolo, Mathis, Roland
Detecting user frustration in modern-day task-oriented dialog (TOD) systems is imperative for maintaining overall user satisfaction, engagement, and retention. However, most recent research is focused on sentiment and emotion detection in academic se
Externí odkaz:
http://arxiv.org/abs/2411.17437
This study explores the potential for artificial agents to develop core consciousness, as proposed by Antonio Damasio's theory of consciousness. According to Damasio, the emergence of core consciousness relies on the integration of a self model, info
Externí odkaz:
http://arxiv.org/abs/2411.16262
Autor:
Mathis, Mackenzie Weygandt
Biological intelligence is inherently adaptive -- animals continually adjust their actions based on environmental feedback. However, creating adaptive artificial intelligence (AI) remains a major challenge. The next frontier is to go beyond tradition
Externí odkaz:
http://arxiv.org/abs/2411.15234